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Korea Photovoltaic Society (한국태양광발전학회)
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Optimal ES (Energy Storage) Service Selection Method

에너지 저장기술의 최적 서비스 선정 방법

  • Ji Hyun Lee (New & Renewable Energy Laboratory, KEPCO Research Institute) ;
  • Seong Jegarl (New & Renewable Energy Laboratory, KEPCO Research Institute) ;
  • Hyunshil Kim (New & Renewable Energy Laboratory, KEPCO Research Institute) ;
  • JongHo Maeng (Power Transmission Laboratory, KEPCO Research Institute)
  • 이지현 (신재생에너지연구소, 한전 전력연구원) ;
  • 제갈성 (신재생에너지연구소, 한전 전력연구원) ;
  • 김현실 (신재생에너지연구소, 한전 전력연구원) ;
  • 맹종호 (송변전연구소, 한전 전력연구원)
  • Received : 2023.04.15
  • Accepted : 2023.05.10
  • Published : 2023.06.30
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Abstract

The expanding significance of energy storage (ES) technology is increasing the acceptability of power systems by augmenting renewable energy supply. To deploy such ES technologies, we must select the optimal technology that meets the requirements of the system and confirm the technical and economic feasibility of the business model based on it. Herein, we propose a method and tool for selecting the optimal ES technology and service suitable for meeting the requirements of the system, based on its performance characteristics. The method described in this study can be used to discover and apply various ES technologies and develop business models with excellent economic feasibility.

Keywords

Acknowledgement

본 논문은 2022년도 한국전력공사의 지원을 받아 수행한 연구과제 성과물입니다(과제 번호: R22EA10).

References

  1. KEMRI Power economics Review, "Economic review of energy storage system by application," 2019-18 (2019).
  2. SNE Research, "Global ESS Market Outlook (2019-2030)" (2020).
  3. O. Schmidt, A. Hawkes, A. Gambhir & I. Staffell, "The future cost of electrical energy storage based on experience rates," Nature. Energy, 2, 17110 (2017).
  4. E3 ANALYTICS, 2022, "10-Point Plant to Scale-up Energy Storage in South East Europe".
  5. ENERGINET, Danish Energy Agency, "Technology data for energy storage," 0002 (2019).
  6. Seong, Jegarl, Ji Hyun Lee, Hyunshil Kim, Jeseok Shin, Jihun Lim, "Technology Selection Method for Optimal Energy Storage," New & Renewable Energy, 19(1), 31-40 (2023).
  7. Abbas A. Akhil, Georgianne Huff, Aileen B. Currier, Benjamin C. Kaun, Dan M. Rastler, Stella Bingqing Chen, Andrew L. Cotter, Dale T. Bradshaw, and William D. Gaunt, "DOE/EPRI 2013 Electricity Storage Handbook in Collaboration with NRECA," Sandia National Laboratories (2013).
  8. SANDIA REPORT, SAND2010-0815, "Energy Storage for the Electricity Grid:Benefits and Market Potential Assessment Guide - A Study for the DOE Energy Storage Systems Program" (2010).
  9. SANDIA National Laboratories, "ES-Select - An Energy Storage Selection Tool".
  10. BASF New Business GmbH, Accessed 12, April 2023, https://www.basf.com.
  11. 김진이, "재생에너지 입찰제도와 향후 전력시장" (2022).